(Source: Africa CDC)
From the newsletter
Only two healthcare startups received venture capital funding in November, the lowest number since January 2025. The total funding received was $300,000, which is $5.7 million lower than last month’s total funding. Clarrio AI from Tunisia received $200,000 in venture capital while Rology from Egypt got a $100,000 grant.
Both funding will help to scale AI-powered digital health across the continent. Clarrio AI will expand its AI-powered health data systems to help businesses improve outcomes and reduce costs.
Rology, which received funding from the Amet Accelerator, will invest it in connecting hospitals and other healthcare providers with remote and readily available radiologists.
More details
The two startups that were funded are both based in North Africa. This is a major contrast to the October funding round. In October, funding was spread across southern (NuvoteQ), central (Waspito), western (Ades) and northern Africa (Docline).
Rology has male-only founders and an all-male team. It was created by Amr Abodraiaa, Moaaz Hossam, Bassam Khallaf and Mahmoud Eldefrawy. In contrast, Clarrio.ai has a gender-diverse team and was founded by Firas Rhaiem, Karim Bendhaou, Ali-Frederic Ben-Amor and Besma Kraiem.
Clarrio AI is a data-aggregation company that unifies fragmented health information from wearables, EHRs, claims, labs and clinical records into a single, AI-processed platform. Harmonising this data helps it detect patterns in real time and deliver predictive risk scores and earlier clinical interventions. The funding will help it to upscale health data harmonisation which is one of the biggest structural barriers in African healthcare systems.
Rology is an AI-assisted teleradiology platform that connects hospitals to qualified radiologists and addresses the acute shortage of diagnostic specialists across Africa. Hospitals upload scans and the system matches each case to the most suitable radiologist. This improves accuracy and turnaround times. Its importance lies in reducing diagnostic delays and expanding specialist access in underserved regions.
Our take
Investing in AI is a climate-smart move because it enhances diagnosis and disease prediction.
It is able to rapidly analyse large volumes of patient data, including medical histories and lab results and detect disease patterns.
As climate change increases the complexity and burden of disease, AI models are essential for processing diverse health data to deliver faster and accurate insights.